hrcak mascot   Srce   HID

Izvorni znanstveni članak

A Correlation Rank Determinator for Principal Components

Damir Pavković ; Laboratory of Physical Chemistry, Faculty of Science, University of Zagreb, 10000 Zagreb, P.O. Box 163, Croatia
Vladislav Tomišić ; Laboratory of Physical Chemistry, Faculty of Science, University of Zagreb, 10000 Zagreb, P.O. Box 163, Croatia
Revik Nuss ; Laboratory of Physical Chemistry, Faculty of Science, University of Zagreb, 10000 Zagreb, P.O. Box 163, Croatia
Vladimir Simeon ; Laboratory of Physical Chemistry, Faculty of Science, University of Zagreb, 10000 Zagreb, P.O. Box 163, Croatia

Puni tekst: engleski, pdf (7 MB) str. 1175-1188 preuzimanja: 93* citiraj
APA 6th Edition
Pavković, D., Tomišić, V., Nuss, R. i Simeon, V. (1996). A Correlation Rank Determinator for Principal Components. Croatica Chemica Acta, 69 (3), 1175-1188. Preuzeto s https://hrcak.srce.hr/177137
MLA 8th Edition
Pavković, Damir, et al. "A Correlation Rank Determinator for Principal Components." Croatica Chemica Acta, vol. 69, br. 3, 1996, str. 1175-1188. https://hrcak.srce.hr/177137. Citirano 21.06.2021.
Chicago 17th Edition
Pavković, Damir, Vladislav Tomišić, Revik Nuss i Vladimir Simeon. "A Correlation Rank Determinator for Principal Components." Croatica Chemica Acta 69, br. 3 (1996): 1175-1188. https://hrcak.srce.hr/177137
Harvard
Pavković, D., et al. (1996). 'A Correlation Rank Determinator for Principal Components', Croatica Chemica Acta, 69(3), str. 1175-1188. Preuzeto s: https://hrcak.srce.hr/177137 (Datum pristupa: 21.06.2021.)
Vancouver
Pavković D, Tomišić V, Nuss R, Simeon V. A Correlation Rank Determinator for Principal Components. Croatica Chemica Acta [Internet]. 1996 [pristupljeno 21.06.2021.];69(3):1175-1188. Dostupno na: https://hrcak.srce.hr/177137
IEEE
D. Pavković, V. Tomišić, R. Nuss i V. Simeon, "A Correlation Rank Determinator for Principal Components", Croatica Chemica Acta, vol.69, br. 3, str. 1175-1188, 1996. [Online]. Dostupno na: https://hrcak.srce.hr/177137. [Citirano: 21.06.2021.]

Sažetak
A new statistic, defined as Ro(k) = s(k)/ -.Jsr+ ... + sE {s(k) denoting
the k-th singular value of data matrix}, is proposed for assessing
the significance of individual components in principal-components
analysis (PCA). Ro was shown to be the correlation coefficient of
the prediction from the k-th principal component to the original
data. The common significance test on Ro was applied as a semiempirical determinator of the effective rank (»pseudorank«) of data matrices. By examining the performance of this simple test on Ro on a number of data matrices ofknown effective ranks (UVNis and
Raman spectra of aqueous solutions of various inorganic salts), it
was shown to be a serious competitor to the rank determinators
commonly used in PCA.

Hrčak ID: 177137

URI
https://hrcak.srce.hr/177137

Posjeta: 196 *